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Mar 21, 2014
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extremely nontrivial to deliver any of these kinds of simulations or products. these systems take megawatts of power. i remember at livermore when we were starting up a think it was the white supercomputer. it runs at about 4.7 megawatts when it's working and when it's idling it's about 2.5. when they were running the first simulation and the first benchmarks, something that jack likes very much, the linpack benchmark that his organization tracks annually and has done for many years. it started and suddenly there was 2.5 megawatt spike in the local power grid which is equivalent to a couple thousand homes. there was a call from the local power company trying to figure out what was going on because someone started a calculation. these are not just computers. they are very complex things that you really have to think about in different ways. when we have the first large system at sandia up there in the top corner 10,000 processors, i think the was about the size of a basketball court. there was a chip by intel which effectively has the same power. the equivalent p
extremely nontrivial to deliver any of these kinds of simulations or products. these systems take megawatts of power. i remember at livermore when we were starting up a think it was the white supercomputer. it runs at about 4.7 megawatts when it's working and when it's idling it's about 2.5. when they were running the first simulation and the first benchmarks, something that jack likes very much, the linpack benchmark that his organization tracks annually and has done for many years. it started...
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Mar 24, 2014
03/14
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i think that is very nontrivial. i think it's a real problem and it requires scientific attention because we typically don't stop -- we typically stop at error bars on a number of interests, and it doesn't? >> guest: to the average person and to the kind of meta- questions that are emerging now. simulation is certainly showing its value. we find it in more and more places, largely because there are champions out there to pull it along and no one to injected, but it isn't still a natural place to go. many of the problems we get, i mean, we don't have oil spill simulation experts that we call on for underwater crises. we don't have the experts or, you know, pick your topic. and we can't afford to constitute them for every problem we have here to we have to figure out how to create a more responsive infrastructure from the tools and people we have. so i think there's a lot to offer. i think it is a lot of promise, but we are going to have to figure out again how to transmit the degree of confidence in anything we do. pe
i think that is very nontrivial. i think it's a real problem and it requires scientific attention because we typically don't stop -- we typically stop at error bars on a number of interests, and it doesn't? >> guest: to the average person and to the kind of meta- questions that are emerging now. simulation is certainly showing its value. we find it in more and more places, largely because there are champions out there to pull it along and no one to injected, but it isn't still a natural...
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Mar 23, 2014
03/14
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i think that is very nontrivial. it's a real problem that requires scientific attention because we typically do not stop -- we typically stop at error bars, and it does not translate to the average person and to the kind of meta-questions that are emerging now. simulation is certainly showing its value. we find it in more and more places, largely because there are champions out there who pull it all long and no way to inject it, but it is not still a natural place to go. many of the problems we get -- we do not have oil spill simulation experts that we call on for underwater crises. we do not have the experts for pick your topic, and we cannot afford to contract them for every problem we have, so we have to figure out how to create a more responsive infrastructure from the tools and people we have. i think there's a lot to offer. there's a lot of promise, but we are going to have to figure out again how to transmit the degree of confidence in anything we do. perhaps understanding how we can be more responsive -- ther
i think that is very nontrivial. it's a real problem that requires scientific attention because we typically do not stop -- we typically stop at error bars, and it does not translate to the average person and to the kind of meta-questions that are emerging now. simulation is certainly showing its value. we find it in more and more places, largely because there are champions out there who pull it all long and no way to inject it, but it is not still a natural place to go. many of the problems we...
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Mar 9, 2014
03/14
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. >> we spend a nontrivial amount of money working with our attorneys making sure the agreements meet our needs and not every district can afford that. >> as for this dad who original i had brought his security concerns to light, he wants ground rules. pure and simple. >> personal information is a valuable business commodity, right? and if you're going to collect it, you know, i'm saying protect it. >> now we reached out to one of the most successful ed tech companies in the bay areas and they have a chief privacy officer, he told us empowering teachers and providing them the tools to create and innovate is critical to helping student achieve their full potentially and there's no reason student privacy can't be protected at the same time. it can. meanwhile an industry group that represents ed tech companies recently came out with a list of five best practices on how to handle sensitive student information and the u.s. department of education issued guidelines, too. so, let's hope those are being shared liberally. >>> well, a high profile lawsuit is under way that could radically alter
. >> we spend a nontrivial amount of money working with our attorneys making sure the agreements meet our needs and not every district can afford that. >> as for this dad who original i had brought his security concerns to light, he wants ground rules. pure and simple. >> personal information is a valuable business commodity, right? and if you're going to collect it, you know, i'm saying protect it. >> now we reached out to one of the most successful ed tech companies in...
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Mar 13, 2014
03/14
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BLOOMBERG
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this is a nontrivial number of americans that have been affected. >> i think target has a long road aheadat i have seen just talking to become they have synonymous with losing customer credit cards and customer data. to prove going forward they are going to be a company that cares a lot about their customer data. it's not an easy thing they have to do, which is one of the reasons a lot of companies are looking at this trying to learn from that lesson. >> thank you very much. he's a professor of science at johns hopkins diversity. alexis ohanian is sticking around. ♪ >> coming up, this brings us back to nightmares from high school. all of this talk about the new sat. we decided to see if we still have our test taking chops. >> if you are homesick for a meal, we will talk to a ceo of a unique delivery company. you are watching "market makers." ♪ >> live from bloomberg world headquarters in new york, this is "market makers" with erik schatzker and stephanie ruhle. >> welcome back to "market makers." >> it is 11:30 here in new york city. another day when you wish we were going live during com
this is a nontrivial number of americans that have been affected. >> i think target has a long road aheadat i have seen just talking to become they have synonymous with losing customer credit cards and customer data. to prove going forward they are going to be a company that cares a lot about their customer data. it's not an easy thing they have to do, which is one of the reasons a lot of companies are looking at this trying to learn from that lesson. >> thank you very much. he's a...
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Mar 21, 2014
03/14
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making sense of the scales in understanding cause and effect across 15 orders of magnitude is nontrivial and there have to be assumptions in there. the question is how do you qualify the trust in the predictions you make in the different scales at the three-point sense scale at the 100 dollars scale and all the way to the trillion dollar scale. you say i have confidence that i know where the federal budget is going that i can tell you where it's going to be next year. it's a very tough and challenging problem but it is a place where the laboratories are certainly doing that. anyway there are a lot of questions we ask these days just at the bottom of that slide. we want to know whether they are safer if we have more options to make they are more secure. we need to know what other people are doing. we worry about terrorism and proliferation and they are very broad questions that we are starting to turn these tools to. i think in view of time let me go perhaps to more interesting things that at least we might find more interesting. i remember february 1, 2003 i hadn't been in government ver
making sense of the scales in understanding cause and effect across 15 orders of magnitude is nontrivial and there have to be assumptions in there. the question is how do you qualify the trust in the predictions you make in the different scales at the three-point sense scale at the 100 dollars scale and all the way to the trillion dollar scale. you say i have confidence that i know where the federal budget is going that i can tell you where it's going to be next year. it's a very tough and...